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AI AgentsARTICLE
AI AgentsARTICLEMeta-Harness: End-to-End Optimization of Model Harnesses
github.com/stanford-iris-lab/meta-harnessAbout
A research paper and framework demonstrating automated optimization of model harnesses - the scaffolding code that determines what AI models store, retrieve, and present during task execution. Shows significant improvements over hand-designed systems across text classification, math reasoning, and coding tasks.
Why it made the leaderboard
Harness engineering, automated: this optimizes the scaffolding around a model — what it stores, retrieves, and feeds back — rather than the weights. Read it once you have realized the harness, not the model, is where most of your agent quality actually comes from.
Tags
airesearchoptimizationmodel-harnessllmframeworkagentsmachine-learning
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